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Data Scientist Internship Jobs in Indiana (NOW HIRING)

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

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All JobsData Scientist JobsData Scientist Internship JobsData Scientist Internship Jobs in Indiana

Data Scientist Internship information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do data scientist internship jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist internship in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What kind of projects and tasks can I expect to work on during a data scientist internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What is a data scientist internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What are the qualifications to get a data scientist internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

More about Data Scientist Internship jobs
What are the most commonly searched types of Data Scientist jobs in Indiana? The most popular types of Data Scientist jobs in Indiana are:
What are popular job titles related to Data Scientist Internship jobs in Indiana? For Data Scientist Internship jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Scientist Internship jobs in Indiana look for? The top searched job categories for Data Scientist Internship jobs in Indiana are:
What cities in Indiana are hiring for Data Scientist Internship jobs? Cities in Indiana with the most Data Scientist Internship job openings:
Data Scientist Internship jobs near you
Infographic showing various Data Scientist Internship job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Machine Learning & Computer Vision Scientist - R&D (Junior/Associate)

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

$56K - $56K/yr

Full-time

Retirement, PTO

Posted 4 days ago

Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

51st of 86 rated pharmaceutical

Job description

At Elanco (NYSE: ELAN) - it all starts with animals!
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals' lives better makes life better - join our team today!
Your Role: Machine Learning & Computer Vision Scientist - R&D (Junior/Associate)
As the Machine Learning & Computer Vision Scientist (Junior/Associate), you will help drive Elanco's R&D innovation by implementing and refining ML and computer-vision models that support faster, better-informed decisions. You will work closely with senior scientists and R&D stakeholders to turn proprietary molecular, in vitro, imaging, and digital endpoint data into predictive and classification models for target identification, molecular optimization, ADMET, and digital biomarkers in animal health.
Your Responsibilities:
  • Implement and refine ML/CV models under guidance, developing, training, and tuning models on R&D datasets (molecular, in vitro, imaging, behavioral) in collaboration with senior scientists to align with scientific objectives.
  • Prepare and manage datasets for modeling by cleaning, transforming, and merging data from multiple scientific sources, running exploratory analyses, and contributing to feature engineering and clear dataset documentation.
  • Support data collection, annotation, and synthetic data work by helping improve capture and labeling workflows for images, video, and assay data, assisting with annotation guidelines, and evaluating synthetic data and augmentation to improve sparse datasets and model robustness.
  • Assist with model evaluation and reporting by contributing to train/validation/test design, applying appropriate metrics and error analyses, and documenting methods, assumptions, limitations, and results for review and reuse.
  • Collaborate and grow ML/CV expertise by joining cross-functional project meetings, sharing learnings through short demos or presentations, and actively building knowledge in drug discovery, development, and ML/CV techniques.

What You Need to Succeed (minimum qualifications):
  • Education: Master's degree in a quantitative field (e.g., Data Science, Engineering, Mathematics, Physics, Statistics, Bioinformatics)
  • Required Experience: Early applied ML/CV experience: 0-3 years applying ML and/or computer vision to real datasets through academic projects, internships, industry roles, or open-source work, with evidence of hands-on model development and evaluation.
  • Top Technical and interpersonal skills: Proficiency in Python and familiarity with ML/CV libraries such as scikit-learn, PyTorch or TensorFlow, and OpenCV; understanding of core ML concepts and basic deep learning; and a collaborative, clear-communicating working style.

What will give you a competitive edge (preferred qualifications):
  • Scientific data and project experience: Exposure to scientific datasets (e.g., high-content imaging, histopathology, microscopy, behavioral video, assay data) and completed projects, theses, or publications showing applied ML/CV skills with scientific or healthcare relevance.
  • Technical craft and tooling: Familiarity with training deep learning models on GPUs, use of Git and reproducible workflows, and exposure to data platforms or cloud environments such as Databricks, Azure, or AWS.
  • Growth orientation and initiative: Demonstrated ability to learn quickly, iterate on models and analyses, and contribute to reusable code, tools, or documentation that improve team efficiency and quality.

Additional Information:
  • Travel: Up to 10%
  • Location: Global Elanco Headquarters - Indianapolis, IN - Hybrid Work Environment

Elanco Benefits and Perks:
We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:
  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job-related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

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